Neuroendocrine Carcinoma of the Urinary Bladder: CT Findings and Radiomics Signature
Background: We present a case series of Neuroendocrine Carcinoma of the Urinary Bladder (NECB) to analyse their radiologic appearance on CT, find a “Radiomic signature”, and review the current literature. Methods: 14 CT cases of NECB were reviewed and compared with a control group of 42 patients wit...
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Veröffentlicht in: | Journal of clinical medicine 2023-10, Vol.12 (20), p.6510 |
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creator | Coppola, Andrea Gatta, Tonia Pini, Giacomo Maria Scordi, Giorgia Fontana, Federico Piacentino, Filippo Minici, Roberto Laganà, Domenico Basile, Antonio Dehò, Federico Carcano, Giulio Franzi, Francesca Uccella, Silvia Sessa, Fausto Venturini, Massimo |
description | Background: We present a case series of Neuroendocrine Carcinoma of the Urinary Bladder (NECB) to analyse their radiologic appearance on CT, find a “Radiomic signature”, and review the current literature. Methods: 14 CT cases of NECB were reviewed and compared with a control group of 42 patients with high-grade non-neuroendocrine bladder neoplasm for the following parameters: ring enhancement; implantation site; dimensions; density; margins; central necrosis; calcifications; number of lesions; wall thickness; depth of invasion in the soft tissue; invasion of fat tissue; invasion of adjacent organs; lymph-node involvement; abdominal organ metastasis. To extract radiomic features, volumes of interest of bladder lesions were manually delineated on the portal-venous phase. The radiomic features of the two groups were identified and compared. Results: Statistical differences among NECB and control group were found in the prevalence of male sex (100% vs. 69.0%), hydronephrosis (71.4% vs. 33.3%), mean density of the mass (51.01 ± 15.48 vs. 76.27 ± 22.26 HU); product of the maximum diameters on the axial plane (38.1 ± 59.3 vs. 14.44 ± 12.98 cm2) in the control group, trigonal region involvement (78.57% vs. 19.05%). About the radiomic features, Student’s t-test showed significant correlation for the variables: “DependenceNonUniformity” (p: 0.048), “JointAverage” (p: 0.013), “LargeAreaLowGrayLevelEmphasis” (p: 0.014), “Maximum2DDiameterColumn” (p: 0.04), “Maximum 2DDiameterSlice” (p: 0.007), “MeanAbsoluteDeviation” (p: 0.021), “BoundingBoxA” (p: 0.022) and “CenterOfMassB” (p: 0.007). Conclusions: There is a typical pattern (male patient, large mass, trigonal area involvement) of NECB presentation on contrast-enhanced CT. Certain morphological characteristics and encouraging results about Radiomic features can help define the diagnosis. |
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Methods: 14 CT cases of NECB were reviewed and compared with a control group of 42 patients with high-grade non-neuroendocrine bladder neoplasm for the following parameters: ring enhancement; implantation site; dimensions; density; margins; central necrosis; calcifications; number of lesions; wall thickness; depth of invasion in the soft tissue; invasion of fat tissue; invasion of adjacent organs; lymph-node involvement; abdominal organ metastasis. To extract radiomic features, volumes of interest of bladder lesions were manually delineated on the portal-venous phase. The radiomic features of the two groups were identified and compared. Results: Statistical differences among NECB and control group were found in the prevalence of male sex (100% vs. 69.0%), hydronephrosis (71.4% vs. 33.3%), mean density of the mass (51.01 ± 15.48 vs. 76.27 ± 22.26 HU); product of the maximum diameters on the axial plane (38.1 ± 59.3 vs. 14.44 ± 12.98 cm2) in the control group, trigonal region involvement (78.57% vs. 19.05%). About the radiomic features, Student’s t-test showed significant correlation for the variables: “DependenceNonUniformity” (p: 0.048), “JointAverage” (p: 0.013), “LargeAreaLowGrayLevelEmphasis” (p: 0.014), “Maximum2DDiameterColumn” (p: 0.04), “Maximum 2DDiameterSlice” (p: 0.007), “MeanAbsoluteDeviation” (p: 0.021), “BoundingBoxA” (p: 0.022) and “CenterOfMassB” (p: 0.007). Conclusions: There is a typical pattern (male patient, large mass, trigonal area involvement) of NECB presentation on contrast-enhanced CT. Certain morphological characteristics and encouraging results about Radiomic features can help define the diagnosis.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm12206510</identifier><identifier>PMID: 37892647</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Bladder cancer ; Cancer ; Cancer therapies ; Carcinoma ; Clinical medicine ; CT imaging ; Data mining ; Diagnosis ; Hematuria ; Hydronephrosis ; Lymphatic system ; Machine learning ; Medical imaging ; Medical prognosis ; Metastasis ; Methods ; Pathology ; Radiomics</subject><ispartof>Journal of clinical medicine, 2023-10, Vol.12 (20), p.6510</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c412t-8f74031f4e80af167eccfca6091b7bb3a16663fcdd5ec6fa4846f3b81d2884e93</cites><orcidid>0000-0002-3809-5696 ; 0000-0002-7680-0851 ; 0000-0002-0530-3911 ; 0000-0001-9158-0140 ; 0000-0002-0453-5710 ; 0000-0001-5895-2563 ; 0000-0002-3840-6693 ; 0000-0002-0756-9967 ; 0000-0001-5260-615X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607129/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607129/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Coppola, Andrea</creatorcontrib><creatorcontrib>Gatta, Tonia</creatorcontrib><creatorcontrib>Pini, Giacomo Maria</creatorcontrib><creatorcontrib>Scordi, Giorgia</creatorcontrib><creatorcontrib>Fontana, Federico</creatorcontrib><creatorcontrib>Piacentino, Filippo</creatorcontrib><creatorcontrib>Minici, Roberto</creatorcontrib><creatorcontrib>Laganà, Domenico</creatorcontrib><creatorcontrib>Basile, Antonio</creatorcontrib><creatorcontrib>Dehò, Federico</creatorcontrib><creatorcontrib>Carcano, Giulio</creatorcontrib><creatorcontrib>Franzi, Francesca</creatorcontrib><creatorcontrib>Uccella, Silvia</creatorcontrib><creatorcontrib>Sessa, Fausto</creatorcontrib><creatorcontrib>Venturini, Massimo</creatorcontrib><title>Neuroendocrine Carcinoma of the Urinary Bladder: CT Findings and Radiomics Signature</title><title>Journal of clinical medicine</title><description>Background: We present a case series of Neuroendocrine Carcinoma of the Urinary Bladder (NECB) to analyse their radiologic appearance on CT, find a “Radiomic signature”, and review the current literature. Methods: 14 CT cases of NECB were reviewed and compared with a control group of 42 patients with high-grade non-neuroendocrine bladder neoplasm for the following parameters: ring enhancement; implantation site; dimensions; density; margins; central necrosis; calcifications; number of lesions; wall thickness; depth of invasion in the soft tissue; invasion of fat tissue; invasion of adjacent organs; lymph-node involvement; abdominal organ metastasis. To extract radiomic features, volumes of interest of bladder lesions were manually delineated on the portal-venous phase. The radiomic features of the two groups were identified and compared. Results: Statistical differences among NECB and control group were found in the prevalence of male sex (100% vs. 69.0%), hydronephrosis (71.4% vs. 33.3%), mean density of the mass (51.01 ± 15.48 vs. 76.27 ± 22.26 HU); product of the maximum diameters on the axial plane (38.1 ± 59.3 vs. 14.44 ± 12.98 cm2) in the control group, trigonal region involvement (78.57% vs. 19.05%). About the radiomic features, Student’s t-test showed significant correlation for the variables: “DependenceNonUniformity” (p: 0.048), “JointAverage” (p: 0.013), “LargeAreaLowGrayLevelEmphasis” (p: 0.014), “Maximum2DDiameterColumn” (p: 0.04), “Maximum 2DDiameterSlice” (p: 0.007), “MeanAbsoluteDeviation” (p: 0.021), “BoundingBoxA” (p: 0.022) and “CenterOfMassB” (p: 0.007). Conclusions: There is a typical pattern (male patient, large mass, trigonal area involvement) of NECB presentation on contrast-enhanced CT. Certain morphological characteristics and encouraging results about Radiomic features can help define the diagnosis.</description><subject>Bladder cancer</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Carcinoma</subject><subject>Clinical medicine</subject><subject>CT imaging</subject><subject>Data mining</subject><subject>Diagnosis</subject><subject>Hematuria</subject><subject>Hydronephrosis</subject><subject>Lymphatic system</subject><subject>Machine learning</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Methods</subject><subject>Pathology</subject><subject>Radiomics</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkl1rXCEQhqWkJCHNVf6A0JtC2NSvVU9vSrI0bSG00G6uxaPjxuUcTfWcQP59XRLyUaoXDuMz7zjjIHRCyRnnHfm4dSNljMglJW_QISNKLQjXfO-FfYCOa92StrQWjKp9dMCV7pgU6hCtf8BcMiSfXYkJ8MoWF1MeLc4BTzeAr5vblnt8MVjvoXzCqzW-jMnHtKnYJo9_WR_zGF3Fv-Mm2Wku8A69DXaocPx4HqHryy_r1bfF1c-v31fnVwsnKJsWOihBOA0CNLGBSgXOBWcl6Wiv-p5bKqXkwXm_BCeDFVrIwHtNPWuVQMeP0OcH3du5H8E7SFOxg7ktcWxPNtlG8_omxRuzyXeGEkkUZTuFD48KJf-ZoU5mjNXBMNgEea6mJeJLJTSTDX3_D7rNc0mtvh3Flq2jHXumNnYAE1PILbHbiZpzpdpHiY6pRp39h2rbQ-tkThBi878KOH0IcCXXWiA8FUmJ2Q2CeTEI_C-yK6LE</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Coppola, Andrea</creator><creator>Gatta, Tonia</creator><creator>Pini, Giacomo Maria</creator><creator>Scordi, Giorgia</creator><creator>Fontana, Federico</creator><creator>Piacentino, Filippo</creator><creator>Minici, Roberto</creator><creator>Laganà, Domenico</creator><creator>Basile, Antonio</creator><creator>Dehò, Federico</creator><creator>Carcano, Giulio</creator><creator>Franzi, Francesca</creator><creator>Uccella, Silvia</creator><creator>Sessa, Fausto</creator><creator>Venturini, Massimo</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3809-5696</orcidid><orcidid>https://orcid.org/0000-0002-7680-0851</orcidid><orcidid>https://orcid.org/0000-0002-0530-3911</orcidid><orcidid>https://orcid.org/0000-0001-9158-0140</orcidid><orcidid>https://orcid.org/0000-0002-0453-5710</orcidid><orcidid>https://orcid.org/0000-0001-5895-2563</orcidid><orcidid>https://orcid.org/0000-0002-3840-6693</orcidid><orcidid>https://orcid.org/0000-0002-0756-9967</orcidid><orcidid>https://orcid.org/0000-0001-5260-615X</orcidid></search><sort><creationdate>20231001</creationdate><title>Neuroendocrine Carcinoma of the Urinary Bladder: CT Findings and Radiomics Signature</title><author>Coppola, Andrea ; Gatta, Tonia ; Pini, Giacomo Maria ; Scordi, Giorgia ; Fontana, Federico ; Piacentino, Filippo ; Minici, Roberto ; Laganà, Domenico ; Basile, Antonio ; Dehò, Federico ; Carcano, Giulio ; Franzi, Francesca ; Uccella, Silvia ; Sessa, Fausto ; Venturini, Massimo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-8f74031f4e80af167eccfca6091b7bb3a16663fcdd5ec6fa4846f3b81d2884e93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bladder cancer</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Carcinoma</topic><topic>Clinical medicine</topic><topic>CT imaging</topic><topic>Data mining</topic><topic>Diagnosis</topic><topic>Hematuria</topic><topic>Hydronephrosis</topic><topic>Lymphatic system</topic><topic>Machine learning</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Methods</topic><topic>Pathology</topic><topic>Radiomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coppola, Andrea</creatorcontrib><creatorcontrib>Gatta, Tonia</creatorcontrib><creatorcontrib>Pini, Giacomo Maria</creatorcontrib><creatorcontrib>Scordi, Giorgia</creatorcontrib><creatorcontrib>Fontana, Federico</creatorcontrib><creatorcontrib>Piacentino, Filippo</creatorcontrib><creatorcontrib>Minici, Roberto</creatorcontrib><creatorcontrib>Laganà, Domenico</creatorcontrib><creatorcontrib>Basile, Antonio</creatorcontrib><creatorcontrib>Dehò, Federico</creatorcontrib><creatorcontrib>Carcano, Giulio</creatorcontrib><creatorcontrib>Franzi, Francesca</creatorcontrib><creatorcontrib>Uccella, Silvia</creatorcontrib><creatorcontrib>Sessa, Fausto</creatorcontrib><creatorcontrib>Venturini, Massimo</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coppola, Andrea</au><au>Gatta, Tonia</au><au>Pini, Giacomo Maria</au><au>Scordi, Giorgia</au><au>Fontana, Federico</au><au>Piacentino, Filippo</au><au>Minici, Roberto</au><au>Laganà, Domenico</au><au>Basile, Antonio</au><au>Dehò, Federico</au><au>Carcano, Giulio</au><au>Franzi, Francesca</au><au>Uccella, Silvia</au><au>Sessa, Fausto</au><au>Venturini, Massimo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neuroendocrine Carcinoma of the Urinary Bladder: CT Findings and Radiomics Signature</atitle><jtitle>Journal of clinical medicine</jtitle><date>2023-10-01</date><risdate>2023</risdate><volume>12</volume><issue>20</issue><spage>6510</spage><pages>6510-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Background: We present a case series of Neuroendocrine Carcinoma of the Urinary Bladder (NECB) to analyse their radiologic appearance on CT, find a “Radiomic signature”, and review the current literature. Methods: 14 CT cases of NECB were reviewed and compared with a control group of 42 patients with high-grade non-neuroendocrine bladder neoplasm for the following parameters: ring enhancement; implantation site; dimensions; density; margins; central necrosis; calcifications; number of lesions; wall thickness; depth of invasion in the soft tissue; invasion of fat tissue; invasion of adjacent organs; lymph-node involvement; abdominal organ metastasis. To extract radiomic features, volumes of interest of bladder lesions were manually delineated on the portal-venous phase. The radiomic features of the two groups were identified and compared. Results: Statistical differences among NECB and control group were found in the prevalence of male sex (100% vs. 69.0%), hydronephrosis (71.4% vs. 33.3%), mean density of the mass (51.01 ± 15.48 vs. 76.27 ± 22.26 HU); product of the maximum diameters on the axial plane (38.1 ± 59.3 vs. 14.44 ± 12.98 cm2) in the control group, trigonal region involvement (78.57% vs. 19.05%). About the radiomic features, Student’s t-test showed significant correlation for the variables: “DependenceNonUniformity” (p: 0.048), “JointAverage” (p: 0.013), “LargeAreaLowGrayLevelEmphasis” (p: 0.014), “Maximum2DDiameterColumn” (p: 0.04), “Maximum 2DDiameterSlice” (p: 0.007), “MeanAbsoluteDeviation” (p: 0.021), “BoundingBoxA” (p: 0.022) and “CenterOfMassB” (p: 0.007). Conclusions: There is a typical pattern (male patient, large mass, trigonal area involvement) of NECB presentation on contrast-enhanced CT. 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subjects | Bladder cancer Cancer Cancer therapies Carcinoma Clinical medicine CT imaging Data mining Diagnosis Hematuria Hydronephrosis Lymphatic system Machine learning Medical imaging Medical prognosis Metastasis Methods Pathology Radiomics |
title | Neuroendocrine Carcinoma of the Urinary Bladder: CT Findings and Radiomics Signature |
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